Blimp Stabilization Controller Optimization using Fuzzy Logic

Abstract

Blimps are used for mission-based application due to its ability to hover at any direction the pilot would direct.Earlier studies implemented manual control and some feedback control system but still the blimp is susceptible to air interference, making it hard to compensate disturbance on its orientation.This study focus on self-stabilization control using fuzzy logic in its feedback control system to achieve basic maneuvering and balance of the blimp.By employing sensor fusion using complimentary filter provides smoother data when subject to air disturbances.The system now ensures stability in its mission flights via its feedback control system using a fuzzy logic algorithm with active braking mechanism and fast updating frequency sensor system.